GPO Plus (GPOX) Operating Expenses (2016 - 2026)
GPO Plus (GPOX) reported Operating Expenses of $964,505 for fiscal Q4 2026 (quarter ended Apr 30, 2026), down 56.4% from $2.21 million a year earlier but up 7.9% from the prior quarter.
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Analysis
GPO Plus (GPOX) Operating Expenses (2016 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), GPO Plus posted Operating Expenses of $3.52 million, down 18.6% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 32.8% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $4.33 million in FY2025 (-10.3%), $4.83 million in FY2024 (+27.1%), $3.8 million in FY2023 (-87.0%) and $29.28 million in FY2022.
- Five-year quarterly Operating Expenses spans a low of $301,338 in fiscal Q4 2022 and a high of $19.16 million in fiscal Q1 2022.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 7.2%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2023 (growth of 334.0%); the low point was fiscal Q1 2023 (a decline of 98.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $893,948 (Q3 2026), $865,845 (Q2 2026) and $800,148 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn | 8.39 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn | 1.02 Bn |
| 10 | GPO Plus | 1.15 Mn | 946,485.40 | 345,265.00 | 964,505.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 964,505.00 |
| Jan 31, 2026 | 893,948.00 |
| Oct 31, 2025 | 865,845.00 |
| Jul 31, 2025 | 800,148.00 |
| Apr 30, 2025 | 2.21 Mn |
| Jan 31, 2025 | 644,544.00 |
| Oct 31, 2024 | 726,624.00 |
| Jul 31, 2024 | 746,949.00 |
| Apr 30, 2024 | 1.81 Mn |
| Jan 31, 2024 | 908,406.00 |
| Oct 31, 2023 | 957,138.00 |
| Jul 31, 2023 | 1.16 Mn |
| Apr 30, 2023 | 1.31 Mn |
| Jan 31, 2023 | 776,783.00 |
| Oct 31, 2022 | 1.36 Mn |
| Jul 31, 2022 | 351,974.00 |
| Apr 30, 2022 | 301,338.00 |
| Jan 31, 2022 | 6.83 Mn |
| Oct 31, 2021 | 2.99 Mn |
| Jul 31, 2021 | 19.16 Mn |
API Access
GPO Plus Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=GPOX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GPOX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=GPOX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();